Question

1. dr. youfa wang at university of north carolina published a study¹ on obesity in america. using linear regression, the study concluded that by 2048, if trends continue, 100% of americans would be overweight. using the graphs² below, do you believe this conclusion is correct? why or why not?

1 wang, beydoun, et al., \will all americans become overweight or obese? estimating the progression and cost of the us obesity epidem obesity (silver spring). 2008;16(10):2323 - 2330. doi:10.1038/oby.2008.351
2 graphs provided are representative approximations of analyses from the paper

Explanation:

The conclusion that 100% of Americans will be overweight by 2048 is likely incorrect. Linear regression models trends but real - world phenomena like obesity rates are subject to many factors (e.g., public health interventions, changes in diet trends, exercise promotion) that a simple linear model can't account for. Also, a percentage can't exceed 100% in a meaningful way for a population, and the model's extrapolation far into the future assumes the trend continues linearly, which is unrealistic as biological and societal limits exist (e.g., not everyone can be overweight as weight is a continuous variable with a lower bound, and there are natural variations in body types and health behaviors that will prevent a 100% rate).

Answer:

The conclusion is incorrect. Reasons include: 1. Linear regression extrapolation assumes an unrealistic continuous linear trend, ignoring factors like public health actions and societal changes that can alter obesity rates. 2. A 100% overweight rate is biologically and socially unrealistic as there are natural variations in body types and health behaviors, and weight - related trends are constrained by real - world limits.